Patent Issued for Learning engine application (USPTO 11804143): Massachusetts Mutual Life Insurance Company

2023 NOV 20 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Massachusetts Mutual Life Insurance Company (Springfield, Massachusetts, United States) has been issued patent number 11804143, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors.

The patent’s inventors are DePaolo, Damon Ryan (Barkhamsted, CT, US), Holban, Emilia Daniela (Clinton, MA, US), Jagasia, Deepak (Chicopee, MA, US), John, Jiby (Suffield, CT, US), Kevane, Cheri (Springfield, MA, US), Lee, Gerald (Windsor, CT, US), Shubrick, Payton A. (Springfield, MA, US).

This patent was filed on April 19, 2021 and was published online on October 31, 2023.

From the background information supplied by the inventors, news correspondents obtained the following quote: “Systems for goal management are often directed to users at specific life stages and do not dynamically adjust to changes in life stages. These systems may not learn from a user’s preferences and account for changes over time. For example, a user that is 13 years old, versus when she is 17, has vastly different priorities and interests when it comes to finances. Similarly, a user that is 50 years old has different priorities than a 70 year old user. Additionally, financial advice is often overlooked and not specified to a user’s needs. Conventional software applications are often not tailored to a user for managing goals.”

Supplementing the background information on this patent, NewsRx reporters also obtained the inventors’ summary information for this patent: “There is a need for a system to dynamically present a user with goal planning based on his/her needs and priorities over as the user’s life stages evolve. Embodiments described herein enable single tap seamless data entry by need via a dynamic user interface that uses artificial intelligence for displaying goal management options. Embodiments describe how a user can transfer funds to family members or via a split account utilizing learning from user’s profiles, income potential, life needs, and market performances. Data harvesting via social networks also allows users to be presented with different options relevant to them. Embodiments include an artificial intelligence engine that may use anomaly detection, association rule learning, and clustering to present users with relevant information.

“Further, disclosed herein are systems and methods capable of addressing the above-described shortcomings and may also provide any number of additional or alternative benefits and advantages. For example, the embodiments described herein may include a software financial planner for life that learns and grows with the user. As a child, embodiments may be used to get paid for chores done, accumulate money to set goals etc. As a parent, the same can be used to help ones’ kids get financial education. As a teenager or adult, one can plan for the next steps in life such as college, house, wedding, kids, retirement etc. In embodiments, an application may learn about users’ styles based on various decisions one makes with the investments and provides one with timely advice on how to improve chances of financial success. Embodiments may be tied to bank accounts in the back end and may have the ability to seamlessly transfer money at the tap of a button.

“In one embodiment, a method comprises receiving, by a server, a user profile from a user via a user interface, wherein the user interface is displayed on a computing device operated by the user; determining, by the server, a set of user attributes based on the user profile, wherein the set of user attributes comprise a first set of configuration parameters; determining and displaying on the user interface, by the server, a first set of goal options to the user based on the first set of configuration parameters, wherein the user interface includes timeline for a goal and selectable options for configuring the goal; receiving, by the server, a first selection of goal options from the user via the user interface; storing, by the server, the first selection of goal options, the set of user attributes, the first set of configuration parameters in a database, wherein the database stores data from different users; creating, by the server, an artificial intelligence model based on data associated with different users in the database, wherein the artificial intelligence model analyzes selections of goal options from different users with similar user attributes, wherein the artificial intelligence model determines recommendation of goal options by statistically clustering and classifying sets of configuration parameters and selections of goal options associated with different users; determining, by the server, a second set of goal options for the user based on the recommendation of goal options according to the artificial intelligence model; updating, by the server, the user interface to display the second set of goal options on the computing device, wherein the updated user interface includes selectable links, each configured for presenting additional information about the goal options; iteratively monitoring, by the server, a change of user profile when the user selects a second user profile, wherein a second set of configuration parameters associated with the second user profile is different from the first set of configuration parameters; and upon determining a third set of goal options based on the second set of configuration parameters using the artificial intelligence model, updating, by the server, the user interface to display the third set of goal options.

“In another embodiment, a system comprises a computing device; and a server in communication with the computing device, wherein the server is configured to: receive a user profile from a user via a user interface, wherein the user interface is displayed on the computing device operated by the user; determine a set of user attributes based on the user profile, wherein the set of user attributes comprise a first set of configuration parameters, wherein the user interface includes timeline for a goal and selectable options for configuring the goal; determine and display on the user interface, a first set of goal options to the user based on the first set of configuration parameters; receive a first selection of goal options from the user via the user interface; store the first selection of goal options, the set of user attributes, the first set of configuration parameters in a database, wherein the database stores data from different users; create an artificial intelligence model based on data associated with different users in the database, wherein the artificial intelligence model analyzes selections of goal options from different users with similar user attributes, wherein the artificial intelligence model determines recommendation of goal options by statistically clustering and classifying sets of configuration parameters and selections of goal options associated with different users; determine a second set of goal options for the user based on the recommendation of goal options according to the artificial intelligence model; update the user interface to display the second set of goal options on the computing device, wherein the updated user interface includes selectable links, each configured for presenting additional information about the goal options; iteratively monitor a change of user profile when the user selects a second user profile, wherein a second set of configuration parameters associated with the second user profile is different from the first set of configuration parameters; and upon determining a third set of goal options based on the second set of configuration parameters using the artificial intelligence model, update the user interface to display the third set of goal options.

“It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed.”

The claims supplied by the inventors are:

“1. A method comprising: determining, by a processor, a set of user attributes based on a user profile, wherein the set of user attributes comprises a first set of configuration parameters; presenting, by the processor for display on a user interface, a first set of goal options based on the first set of configuration parameters, wherein the user interface includes timeline for at least one goal option and selectable options for configuring the at least one goal option; receiving, by the processor, a first selection of goal options via the user interface; training, by the processor, an artificial intelligence model based on data associated with different users and their corresponding goal options to determine a recommendation of goal options by statistically clustering and classifying sets of configuration parameters and selections of goal options associated with different users; executing, by the processor, the artificial intelligence model to determine a second set of goal options for the user profile based on the recommendation of goal options; monitoring, by the processor, a change of user profile when a user associated with the user profile adds a second user profile having a second set of configuration parameters required by the change of the user profile; executing, by the processor, the artificial intelligence model to determine a third set of goal options based on combining the first set of configuration parameters and the second set of configuration parameters; and updating, by the processor, the user interface to display the third set of goal options.

“2. The method of claim 1, further comprising: executing, by the processor, the artificial intelligence model to compare the user to other users with similar user profiles.

“3. The method of claim 1, further comprising: presenting, by the processor, for display on the user interface, educational materials that the artificial intelligence model has identified for the user profile, related to particular financial situation, in time for the user to prepare for the particular financial situation.

“4. The method of claim 1, wherein the artificial intelligence model performs anomaly detection using the user’s selection of goal options and other users’ selections of goal options.

“5. The method of claim 1, wherein the user profile comprises data associated with at least one of gender, family structure, location, income, age, or work status.

“6. The method of claim 1, wherein the user interface further displays options of chores comprising actions to be performed by the user.

“7. The method of claim 1, wherein the user interface further displays bank accounts and assets associated with the user profile.

“8. The method of claim 1, wherein the user interface further displays suggestions based on age, gender, family structure, location, income, and user preferences.

“9. The method of claim 1, wherein the user interface comprises a graphical status indicator associated with at least one goal option.

“10. The method of claim 9, wherein the at least one goal option corresponds to monetary savings.

“11. A system comprising: a processor; and a non-transitory computer-readable medium comprising instructions that when executed by the processor, cause the processor to: determine set of user attributes based on a user profile, wherein the set of user attributes comprises a first set of configuration parameters; present for display on a user interface, a first set of goal options based on the first set of configuration parameters, wherein the user interface includes timeline for at least one goal option and selectable options for configuring the at least one goal option; receive a first selection of goal options via the user interface; train, by the processor, an artificial intelligence model based on data associated with different users and their corresponding goal options to determine a recommendation of goal options by statistically clustering and classifying sets of configuration parameters and selections of goal options associated with different users execute the artificial intelligence model to determine a second set of goal options for the user profile based on the recommendation of goal options; monitor a change of user profile when a user associated with the user profile adds a second user profile having a second set of configuration parameters required by the change of the user profile; execute the artificial intelligence model to determine a third set of goal options based on combining the first set of configuration parameters and the second set of configuration parameters; and update the user interface to display the third set of goal options.

“12. The system of claim 11, wherein the instructions further cause the processor to: execute the artificial intelligence model to compare the user profile to other users with similar user profiles.

“13. The system of claim 11, wherein the instructions further cause the processor to: present, for display on the user interface, educational materials that the artificial intelligence model has identified for the user profile, related to particular financial situation, in time for the user to prepare for the particular financial situation.

“14. The system of claim 11, wherein the artificial intelligence model performs anomaly detection using the user’s selection of goal options and other users’ selections of goal options.

“15. The system of claim 11, wherein the user profile comprises data associated with at least one of gender, family structure, location, income, age, or work status.

“16. The system of claim 11, wherein the user interface further displays options of chores comprising actions to be performed by the user.

“17. The system of claim 11, wherein the user interface further displays bank accounts and assets associated with the user profile.

“18. The system of claim 11, wherein the user interface further displays suggestions based on age, gender, family structure, location, income, and user preferences.

“19. The system of claim 11, wherein the user interface comprises a graphical status indicator associated with at least one goal option.

“20. The system of claim 19, wherein the at least one goal option corresponds to monetary savings.”

For the URL and additional information on this patent, see: DePaolo, Damon Ryan. Learning engine application. U.S. Patent Number 11804143, filed April 19, 2021, and published online on October 31, 2023. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(11804143)&db=USPAT&type=ids

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